A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...

North America held a dominant market position, capturing more than a 36.1% share, holding USD 28.38 billion in revenue.

The partnership extension builds on a successful collaboration focused on helping operators move beyond traditional CRM and ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Abstract: In this study, a novel learning-based model predictive control (LMPC) framework that uses a Lipschitz interpolation (LI)-based nonparametric estimation method is developed for the optimal ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...